Multi-Classification by Using Tri-Class SVM

Author:

Angulo Cecilio,Ruiz Francisco J.,González Luis,Ortega Juan Antonio

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Reference22 articles.

1. Anguita D., Ridella S. and Sterpi D.: A New Method for Multiclass Support Vector Machines. In: Proceedings of the IEEE IJCNN2004. Budapest (Hungary), 2004.

2. Angulo, C.: Learning with Kernel Machines into a Multi-Class Environment. Doctoral thesis, Technical University of Catalonia. In Spanish, 2001.

3. Exploiting Classifier Combination for Early Melanoma Diagnosis Support

4. Angulo, C. and Català, A.: Ordinal regression with K-SVCR machines. In: J. Mira and A. Prieto (eds.), Proceedings of IWANN 2001, Part I, Vol. 2084 of Lecture Notes in Computer Science. pp. 661–668, 2001.

5. Angulo, C. and González, L.: 1-v-1 tri-class SV machine. In: Proceedings of the 11th European Symposium on Artificial Neural Networks. Bruges (Belgium), pp. 355–360, 2003.

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